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Microsoft Azure Projects

Analyse Yelp Dataset with Spark & Parquet Format on Azure Databricks

In this Databricks Azure project, you will use Spark & Parquet file formats to analyse the Yelp reviews dataset. As part of this you will deploy Azure data factory, data pipelines and visualise the analysis.

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Azure Data Factory and Databricks End-to-End Project

Azure Data Factory and Databricks End-to-End Project to implement analytics on trip transaction data using Azure Services such as Data Factory, ADLS Gen2, and Databricks, with a focus on data transformation and pipeline resiliency.

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Flask API Big Data Project using Databricks and Unity Catalog

In this Flask Project, you will use Flask APIs, Databricks, and Unity Catalog to build a secure data processing platform focusing on climate data. You will also explore advanced features like Docker containerization, data encryption, and detailed data lineage tracking.

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Web Server Log Processing using Hadoop in Azure

In this big data project, you will use Hadoop, Flume, Spark and Hive to process the Web Server logs dataset to glean more insights on the log data.

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Build Streaming Data Pipeline using Azure Stream Analytics

In this Azure Data Engineering Project, you will learn how to build a real-time streaming platform using Azure Stream Analytics, Azure Event Hub, and Azure SQL database.

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Learn to Create Delta Live Tables in Azure Databricks

In this Microsoft Azure Project, you will learn how to create delta live tables in Azure Databricks.

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Databricks Real-Time Streaming with Event Hubs and Snowflake

In this Azure Databricks Project, you will learn to use Azure Databricks, Event Hubs, and Snowflake to process and analyze real-time data, specifically in monitoring IoT devices.

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Build a Spark Streaming Pipeline with Synapse and CosmosDB

In this Spark Streaming project, you will learn to build a robust and scalable spark streaming pipeline using Azure Synapse Analytics and Azure Cosmos DB and also gain expertise in window functions, joins, and logic apps for comprehensive real-time data analysis and processing.

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Movielens Dataset Analysis on Azure

Build a movie recommender system on Azure using Spark SQL to analyse the movielens dataset . Deploy Azure data factory, data pipelines and visualise the analysis.

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Build a Data Pipeline with Azure Synapse and Spark Pool

In this Azure Project, you will learn to build a Data Pipeline in Azure using Azure Synapse Analytics, Azure Storage, Azure Synapse Spark Pool to perform data transformations on an Airline dataset and visualize the results in Power BI.

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Databricks Data Lineage and Replication Management

Databricks Project on data lineage and replication management to help you optimize your data management practices | ProjectPro

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Azure Stream Analytics for Real-Time Cab Service Monitoring

Build an end-to-end stream processing pipeline using Azure Stream Analytics for real time cab service monitoring

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Snowflake Azure Project to build real-time Twitter feed dashboard

In this Snowflake Azure project, you will ingest generated Twitter feeds to Snowflake in near real-time to power an in-built dashboard utility for obtaining popularity feeds reports.

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Learn Real-Time Data Ingestion with Azure Purview

In this Microsoft Azure project, you will learn data ingestion and preparation for Azure Purview.

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Getting Started with Azure Purview for Data Governance

In this Microsoft Azure Purview Project, you will learn how to consume the ingested data and perform analysis to find insights.

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Building Data Pipelines in Azure with Azure Synapse Analytics

In this Microsoft Azure Data Engineering Project, you will learn how to build a data pipeline using Azure Synapse Analytics, Azure Storage and Azure Synapse SQL pool to perform data analysis on the 2021 Olympics dataset.

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Build an ETL Pipeline with Talend for Export of Data from Cloud

In this Talend ETL Project, you will build an ETL pipeline using Talend to export employee data from the Snowflake database and investor data from the Azure database, combine them using a Loop-in mechanism, filter the data for each sales representative, and export the result as a CSV file.

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ProjectPro is an awesome platform that helps me learn much hands-on industrial experience with a step-by-step walkthrough of projects. There are two primary paths to learn: Data Science and Big Data. In each learning path, there are many customized projects with all the details from the beginner to the expert. As a new data science learner, you can just follow these projects to master the important techniques quickly. It is really helpful for both my research and job searching. Hope you can come and join ProjectPro to win a great future for yourself.

Jingwei Li

Graduate Research assistance at Stony Brook University

ProjectPro is a unique platform and helps many people in the industry to solve real-life problems with a step-by-step walkthrough of projects. A platform with some fantastic resources to gain hands-on experience and prepare for job interviews. I would highly recommend this platform to anyone looking to upskill and stay updated with the latest projects and solutions. Overall this platform is awesome and worth the money spent as we get a lot of value out of it and helps soar our career to greater heights.

Anand Kumpatla

Sr Data Scientist @ Doubleslash Software Solutions Pvt Ltd

Having worked in the field of Data Science, I wanted to explore how I can implement projects in other domains, So I thought of connecting with ProjectPro. A project that helped me absorb this topic was "Credit Risk Modelling". To understand other domains, it is important to wear a thinking cap and that's where ProjectPro helped me. I also got a chance to talk to experts who have worked on these domains - they helped me by walking through the project. Kudos to the ProjectPro team!

Gautam Vermani

Data Consultant at Confidential

I am the Director of Data Analytics with over 10+ years of IT experience. I have a background in SQL, Python, and Big Data working with Accenture, IBM, and Infosys. I am looking to enhance my skills in Data Engineering/Science and hoping to find real-world projects fortunately, I came across Project Pro. Project Pro helped me by providing an in-depth explanation of the end-to-end real-world data engineering projects. From data extraction, transformation, and storage up to data visualization. I learned more about Kafka, AWS, NI-FI, and Spark. Thru the help of the knowledge I gained from Project Pro, I was able to do well in the coding exams, interview and helped me land a job at EY. I will recommend every aspiring data professional as well as existing data science/engineer expert to try Project Pro to enhance their knowledge.

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Director Data Analytics at EY / EY Tech

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Savvy Sahai

Data Science Intern, Capgemini

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ETL (Abintio) developer at IBM

I think that they are fantastic. I attended Yale and Stanford and have worked at Honeywell,Oracle, and Arthur Andersen(Accenture) in the US. I have taken Big Data and Hadoop,NoSQL, Spark, Hadoop Admin, Hadoop projects. I have been happy with every project. They have really brought me into the forefront of Data Science and Big data. I would recommend this to everyone. It is more than worth the price. After working with them I feel so much more employable for current projects.

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Tech Leader | Stanford / Yale University

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Abhinav Agarwal

Graduate Student at Northwestern University

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Applications of Generative AI in Energy and Utilities

Explore the impact of generative AI in the Energy Industry, including considerations for generative AI energy consumption, with Ashutosh Krishna | ProjectPro